English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Kernel-based Conditional Independence Test and Application in Causal Discovery

Zhang, K., Peters, J., Janzing, D., & Schölkopf, B. (2011). Kernel-based Conditional Independence Test and Application in Causal Discovery. In F. Cozman, & A. Pfeffer (Eds.), 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011) (pp. 804-813). Corvallis, OR, USA: AUAI Press.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-BB20-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-0A98-8
Genre: Conference Paper

Files

show Files

Locators

show
hide
Locator:
http://www.auai.org/uai2011/ (Table of contents)
Description:
-

Creators

show
hide
 Creators:
Zhang, K1, Author              
Peters, J1, Author              
Janzing, D1, Author              
Schölkopf, B1, Author              
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              

Content

show
hide
Free keywords: -
 Abstract: Conditional independence testing is an important problem, especially in Bayesian network learning and causal discovery. Due to the curse of dimensionality, testing for conditional independence of continuous variables is particularly challenging. We propose a Kernel-based Conditional Independence test (KCI-test), by constructing an appropriate test statistic and deriving its asymptotic distribution under the null hypothesis of conditional independence. The proposed method is computationally efficient and easy to implement. Experimental results show that it outperforms other methods, especially when the conditioning set is large or the sample size is not very large, in which case other methods encounter difficulties.

Details

show
hide
Language(s):
 Dates: 2011-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: BibTex Citekey: ZhangPJS2011
 Degree: -

Event

show
hide
Title: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)
Place of Event: Barcelona, Spain
Start-/End Date: -

Legal Case

show

Project information

show

Source 1

show
hide
Title: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)
Source Genre: Proceedings
 Creator(s):
Cozman, FG, Editor
Pfeffer, A, Editor
Affiliations:
-
Publ. Info: Corvallis, OR, USA : AUAI Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 804 - 813 Identifier: ISBN: 978-0-9749039-7-2